Active standard | Published: 27/05/2022

IEEE 3333.1.3-2022

IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors

Available languages: English

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Detail information

Designation: IEEE 3333.1.3-2022

Publication date: 27/05/2022

Pages: 51

Country: International technical standard

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Anotation

New IEEE Standard - Active.
Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s perceptual experience including human, system, and context factors. Since QoE stems from human interaction with various devices, the estimation should be started by investigating the mechanism of human visual perception. Therefore, measuring QoE is still a challenging task. In this standard, QoE assessment is categorized into two subcategories which are perceptual quality and virtual reality (VR) cybersickness. In addition, deep learning models considering human factors for various QoE assessments are covered, along with a reliable subjective test methodology and a database construction procedure.

ISBN: 978-1-5044-8442-8, 978-1-5044-8443-5
Number of Pages: 51
Product Code: STD25247, STDPD25247
Keywords: AR, augmented reality, cybersickness, deep learning, human factor, human visual system, HVS, IEEE 3333.1.3, QoE, quality of experience, saliency detection, subjective assessment, virtual reality, visual experience, VR
Category: Computational Intelligence

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